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This research explores the role of machine learning in early prediction and diagnosis of chronic kidney disease in India.

March 30, 2026Open Access

Machine Learning and Chronic Kidney Disease: Towards Early Prediction and Diagnosis

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Review reveals potential of machine learning in chronic kidney disease prediction, highlighting predictive model challenges.

This research explores the role of machine learning in early prediction and diagnosis of chronic kidney disease in India.
Analyzed recent technological advancements in machine learning.
Evaluated various datasets used for CKD prediction.
Identified key challenges and limitations of existing predictive models.
Significant variability in CKD prevalence rates across regions was observed.
Enhancements in predictive accuracy and efficiency for CKD detection are recommended.
The need for robust, scalable, and interpretable models adapted to India's healthcare landscape was emphasized.

Darolia et al. (2024) studied this question.

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March 30, 2026Open Access

View Full Paper

Ask AI

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Authors

Review reveals potential of machine learning in chronic kidney disease prediction, highlighting predictive model challenges.

This research explores the role of machine learning in early prediction and diagnosis of chronic kidney disease in India.
Analyzed recent technological advancements in machine learning.
Evaluated various datasets used for CKD prediction.
Identified key challenges and limitations of existing predictive models.
Significant variability in CKD prevalence rates across regions was observed.
Enhancements in predictive accuracy and efficiency for CKD detection are recommended.
The need for robust, scalable, and interpretable models adapted to India's healthcare landscape was emphasized.

Darolia et al. (2024) studied this question.

View Full Paper

Ask AI

Bookmark